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A vendor-neutral functional MRI acquisition protocol for multi-site studies.

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Summary
This summary is machine-generated.

This study introduces an open, vendor-neutral BOLD SMS-EPI protocol using Pulseq for multi-site fMRI studies. It ensures consistent experimental conditions across vendors, reducing site variance in functional MRI data.

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Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging (MRI)
  • Biomedical Engineering

Background:

  • Conventional MRI protocols are vendor-specific, leading to inconsistencies in multi-site functional MRI (fMRI) studies.
  • Lack of standardization hinders reproducibility and cross-site comparisons in neuroimaging research.
  • Existing vendor-specific pipelines act as 'black boxes,' limiting transparency and customization.

Purpose of the Study:

  • To present an open, vendor-neutral BOLD SMS-EPI protocol as a replacement for current vendor-specific pipelines.
  • To ensure identical SMS-EPI pulse sequences and image reconstruction across different MRI scanner vendors.
  • To establish known and consistent experimental conditions for multi-site fMRI research.

Main Methods:

  • Development of a vendor-neutral BOLD SMS-EPI protocol based on the Pulseq framework.
  • Implementation of identical SMS-EPI pulse sequences and image reconstruction across vendors.
  • Testing the protocol using resting-state fMRI data from healthy volunteers on Siemens and GE scanners.

Main Results:

  • Demonstrated reduced site variance in fMRI data compared to vendor-specific protocols.
  • Confirmed identical SMS-EPI pulse sequences and image reconstruction across different scanner vendors.
  • Provided practical resources for researchers to integrate the Pulseq fMRI protocol.

Conclusions:

  • The open, vendor-neutral Pulseq fMRI protocol offers a standardized solution for multi-site studies.
  • This approach enhances reproducibility in neuroimaging research by ensuring consistent experimental conditions.
  • The protocol serves as a foundation for future development of novel MRI acquisition and reconstruction methods.